$ loading_
Securely manage enterprise AI and MCP access with auditing, controls, and cost tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ThinkWatch" yet — see the docs or source repo.
Help me design an enterprise AI access architecture that proxies OpenAI, Anthropic, Gemini, and self-hosted models. Include API routing, authentication, an RBAC model, MCP integration, and baseline audit policies.
An enterprise AI gateway plan covering unified proxying, access control, MCP integration, and audit design.
Create security governance guidelines for our AI platform, focusing on role-based permissions, audit log fields, traceability for sensitive actions, rate-limiting policies, and suspicious access alerts.
An actionable AI security and auditing policy set for compliance and risk tracking.
Design a cost management approach for an enterprise AI platform that tracks usage and spend by team and model, sets quotas and rate limits, triggers overspend alerts, and suggests monthly report fields.
An AI cost governance plan with spend tracking, quota controls, alerting, and reporting metrics.
Monitor threat intel, analyze IOCs, and investigate security incidents in real time.
Connect AI agents to enterprise tools through a secure, observable gateway.
Help AI agents discover and run enterprise tools securely.
Securely expose OpenAPI endpoints as MCP tools with auth, limits, and auditing.
Turn existing APIs and databases into MCP tools for direct AI use.
Create tamper-proof audit logs, integrity checks, and compliance reports for AI agents.